A bio-inspired solid–liquid compositing fluid-infused surface for prohibiting abiotic and microbiologically induced corrosion
Source abstract
Abstract
In the harsh environments, such as marine and underground mine, corrosion is a critical problem for causing the disasters to the materials. Seeking effective coating for counteracting the corrosion is of high significance to elongate the service life of the materials. Mimicking natural plants affords a good anticorrosion strategy for resisting both abiotic and microbiologically induced corrosion. By using a rapid and facile electrodeposition route, the lotus leaf bioinspired air-infused superhydrophobic (SHP) coating is fabricated onto Cu surface in this study. Further, the intrinsic hydrophobic coal powder and the oil are used as the composite fluid to construct into the SHP matrix to replace the air. In the abiotic seawater and salt spray environment, the as-formed compositing fluid-infused surface (CFIS) performs much better corrosion inhibition than SHP and the ordinary liquid-infused coating inspired by pitcher plant. When CFIS is incubated in the harsh sulfate-reducing bacteria (SRB) suspension, it exhibits good anti-adhesion effect to prohibit the attachment of the bio-organisms with density of 3.95 × 108 cells/cm2, which is far less than bare Cu with 8.31 × 1010 cells/cm2 for same period immersion. Moreover, the biofouling inhibition further provides the advantage to alleviate the corrosion from SRB with the impedance of CFIS Cu being 26.0 times to bare Cu after immersion for 204 h, indicating that CFIS performs prominent corrosion inhibition to underneath Cu metal. Compositing fluid infused surface performs an exceptional barrier to prohibit biofouling and biocorrosion for copper.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Surface Modification and Superhydrophobicity · Corrosion Behavior and Inhibition · Polymer Surface Interaction Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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